Intern - Fraud Insights

Fraud Insights - Growth

The Fraud Insights Intern will support strategic, cross-functional initiatives that drive thought leadership, media engagement, and insights that contribute to product adoption, pipeline generation, and overall company revenue growth. Reporting to the Head of Fraud Insights, this role will play an active part in data-driven research and analysis focused on cross-sector fraud trends and organized fraud rings.

This internship is designed for a curious and analytical student who is interested in understanding fraud behavior, the tactics used by bad actors, and the evolving nature of identity-related risk. The intern will gain hands-on experience in a fast-paced, data-driven environment, working on initiatives closely aligned with Socure’s growth strategy and broader mission to combat fraud at scale.

Job Responsibilities

• Develop and analyze datasets leveraging Socure product outputs and consortium-reported fraud and non-fraud data to generate actionable insights on cross-sector fraud trends and fraud ring activity.
  
   
• Apply LLMs and AI-driven automation to design and build scalable, efficient monitoring and reporting capabilities that enhance fraud detection and intelligence.
  
   
• Identify and surface emerging fraud patterns, including:
  
  
  • How individual fraud rings operate and attack across industries
    
     
  • New methods for linking and clustering fraud activity
    
     
  • Techniques to distinguish domestic vs. international attacks using IP data, proxies, VPNs, hosting providers, and domain infrastructure
    
     
  • Mechanisms to track and analyze fraud rings, including patterns driven by agentic AI and automated attack systems
    
     
• Contribute to a culture of continuous improvement by seeking feedback, incorporating coaching, and proactively identifying opportunities to enhance processes, collaboration, and outcomes across the Fraud Insights team.
  
   

Job Requirements

• Current graduate or PhD student in Data Science, Data Analytics, Computer Science, Statistics, Applied Mathematics, or a related quantitative field, with a strong interest in fraud detection, fintech, or digital identity.
  
   
• Experience or interest in applying LLMs and building AI-driven agents to identify emerging patterns and generate actionable insights from data.
• Ability to clean, transform, and analyze large-scale datasets using SQL and Python (e.g., PySpark or pandas).
• Identify meaningful trends (e.g., in transactional or fraud-related signals), and communicate insights through clear visualizations and summaries that support decision-making.
• Strong written and verbal communication skills, including the ability to synthesize complex information into clear, concise narratives for different audiences (e.g., internal updates, short briefs, or slide content).
• Proven organizational skills and attention to detail; able to manage multiple tasks, follow through on deadlines, and maintain accurate documentation in a fast-moving, remote-first environment.
• Demonstrated growth mindset and willingness to learn—open to feedback, eager to build new skills, and motivated by working on projects that have visible business impact.
• Collaboration-oriented, with the ability to work effectively with cross-functional partners and contribute positively to Socure’s culture of transparency, accountability, and selfless collaboration.